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Coding for Wireless Channels [electronic resource] / by Ezio Biglieri.

By: Biglieri, Ezio [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Information Technology: Transmission, Processing and Storage: Publisher: New York, NY : Springer US : Imprint: Springer, 2005Edition: 1st ed. 2005.Description: XIV, 428 p. 206 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781402080845.Subject(s): Telecommunication | Coding theory | Information theory | Signal processing | Electrical engineering | Communications Engineering, Networks | Coding and Information Theory | Signal, Speech and Image Processing | Electrical and Electronic EngineeringAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
Tour d’horizon -- Channel models for digital transmission -- Coding in a signal space -- Fading channels -- Trellis representation of codes -- Coding on a trellis: Convolutional codes -- Trellis-coded modulation -- Codes on graphs -- LDPC and turbo codes -- Multiple antennas -- Facts from information theory -- Facts from matrix theory -- Random variables, vectors, and matrices -- Computation of error probabilities.
In: Springer Nature eBookSummary: Coding for Wireless Channels is an accessible introduction to the theoretical foundations of modern coding theory, with applications to wireless transmission systems. State-of-the-art coding theory is explained using soft (maximum-likelihood) decoding rather than algebraic decoding. Convolutional codes, trellis-coded modulation, turbo codes, and low-density parity-check (LDPC) codes are also covered, with specific reference to the graphical structures through which they can be described and decoded (trellises and factor graphs). A special section is devoted to multiple-antenna systems and space-time codes. The author assumes that the reader has a firm grasp of the concepts usually presented in senior-level courses on digital communications, information theory, and random processes. Coding for Wireless Channels will serve as an advanced text for undergraduate and graduate level courses & as a reference for professionals in telecommunications.
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Tour d’horizon -- Channel models for digital transmission -- Coding in a signal space -- Fading channels -- Trellis representation of codes -- Coding on a trellis: Convolutional codes -- Trellis-coded modulation -- Codes on graphs -- LDPC and turbo codes -- Multiple antennas -- Facts from information theory -- Facts from matrix theory -- Random variables, vectors, and matrices -- Computation of error probabilities.

Coding for Wireless Channels is an accessible introduction to the theoretical foundations of modern coding theory, with applications to wireless transmission systems. State-of-the-art coding theory is explained using soft (maximum-likelihood) decoding rather than algebraic decoding. Convolutional codes, trellis-coded modulation, turbo codes, and low-density parity-check (LDPC) codes are also covered, with specific reference to the graphical structures through which they can be described and decoded (trellises and factor graphs). A special section is devoted to multiple-antenna systems and space-time codes. The author assumes that the reader has a firm grasp of the concepts usually presented in senior-level courses on digital communications, information theory, and random processes. Coding for Wireless Channels will serve as an advanced text for undergraduate and graduate level courses & as a reference for professionals in telecommunications.

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